Influencing Opinions through False Online Information : A Study

Authors(1) :-Baldev Singh

Online Social media generates lot of information now-a-days. It is not legitimate information so there are the chances of fake and false information produced using social media. It is very alarming that majority of the people getting news from social media which is very much prone to false information in comparison to traditional news media which is very dangerous to the society. One of the primary reasons to influence opinion through false information is to earn money, name or fame. In this study, the focus is on to highlight false information generated through fake reviews, fake news and hoaxes based on web & social media. It summarized various False information spreading Mechanisms, False Information Detection Algorithms, Mining Techniques for Online False Information to detect and prevent false online information.

Authors and Affiliations

Baldev Singh
Department of Computer Science and Information Technology, Lyallpur Khalsa College, Jalandhar, India

Fake News, Tweets, Data Mining, False Information Detection Algorithms

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 443-449
Manuscript Number : CSEIT1952101
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Baldev Singh, "Influencing Opinions through False Online Information : A Study", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.443-449, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952101
Journal URL : http://ijsrcseit.com/CSEIT1952101

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